[Prediction of chemotherapy response in primary osteosarcoma using the machine learning technique on radiomic data].
Journal:
Bulletin du cancer
Published Date:
Nov 1, 2019
Abstract
INTRODUCTION: Osteosarcoma is the most common malignant bone tumor before 25 years of age. Response to neoadjuvant chemotherapy determines continuation of treatment and is also a powerful prognostic factor. There are currently no reliable ways to evaluate it early. The aim is to develop a method to predict the chemotherapy response using radiomics from pre-treatment MRI.
Authors
Keywords
Adolescent
Analysis of Variance
Antineoplastic Combined Chemotherapy Protocols
Bone Neoplasms
Chemotherapy, Adjuvant
Child
Child, Preschool
Female
France
Humans
Infant
Infant, Newborn
Machine Learning
Magnetic Resonance Imaging
Male
Neoadjuvant Therapy
Osteosarcoma
Predictive Value of Tests
Retrospective Studies
Sensitivity and Specificity
Treatment Outcome
Young Adult